An organization wants to develop an AI system that converts natural language descriptions of features into corresponding programming code to expedite their software development process.
Which Azure OpenAI model should they choose to achieve this goal?
Codex
DALL-E
Embeddings
GPT-3
The Codex model in Azure OpenAI Service is specifically designed for translating natural language input into programming code. It supports multiple programming languages and can interpret user intent to generate accurate code snippets, making it ideal for this scenario.
GPT-3 is capable of understanding and generating human-like text, it is not optimized for code generation tasks.
DALL-E focuses on creating images from textual descriptions.
Embeddings are used for semantic understanding and similarity tasks, not code generation.
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